![]() ![]() ![]() Selecting team members with the right skillsets usually makes the difference in the success of a data migration project focused on Dynamic Data. If so, substantial amounts of historical data will need to be migrated often generating complicated and expensive project activities that must be completed prior to system go-live.įinally, many organizations elect to implement a more complete data-warehousing and reporting system wherein historical data from several systems (such as LIMS, ERP, MES, etc.) is centrally stored to facilitate decision making with information that affords a complete view of the organization, inside the laboratory and out. In some cases, however, organizations feel that preserving all historical data by migrating it to the new LIMS is preferable. Many organizations decide to address their data migration needs by drawing a clear ‘line-in-the-sand’ where the old LIMS will be maintained in read-only mode (often in a virtualized sense) to support historical data trending, client reporting, audits, and investigations. Doing so requires consideration of an organization’s data needs, as well as the overall LIMS application architecture required to support that data. Migration of dynamic data is possibly the most challenging aspect of your data migration to address. Examples of dynamic data would include batch records, stability studies, sample/test results, QA approvals, and audit trail records. It is generally created through the actual use of the system. ![]() Dynamic Dataĭynamic data is the other type of data that exists within a LIMS. If an organization wants to identify and remove inactive client data, or discovers that product specifications are handled differently within the new LIMS, it will impact the overall data migration process. However, in some cases, it is deceptively difficult to migrate. ![]() Static data is usually simple to identify. Examples include customer information, product specifications, analyses or test methods, and storage locations. Static data is the data that enables a system to run and is usually configured before use. Separately addressing static data and dynamic data sets the bar for a successful data migration project. While both types of data are necessary for a LIMS to operate on a day-to-day basis, not all data is created the same and not all of it is required for a system go-live. A LIMS has two types of data to consider migrating: static data and dynamic data. Defining the Dataĭefining the data to migrate is the first step in any successful data migration plan. Regulated organizations requiring validation of their data migration activities will require even more tasks and effort to satisfy their data migration needs. Additionally, tasks may be added to the overall LIMS project to satisfy your data migration needs. When implementing a new LIMS, the question is not usually whether to migrate legacy system data, but how much data, in what manner, and why? These questions are usually best addressed early in your LIMS planning, as multiple stakeholders will be affected by your decisions. ![]()
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